Sol Rashidi, a distinguished data executive who has served in C-suite roles at Fortune 100 companies, joins Jon Krohn to delve into successful enterprise AI strategies and the reasons behind the high turnover among Chief Data Officers. This episode provides an in-depth look at selecting AI projects that succeed and understanding the strategic value of patents in various industries. Benefit from Sol’s extensive experience and practical advice on navigating complex corporate challenges.

This episode is brought to you by AWS Inferentia (https://go.aws/3zWS0au) and AWS Trainium (https://go.aws/3ycV6K0). Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• How CDOs and related roles have such high turnover because [09:40]
• The importance of building relationships in AI projects [17:01]
• How Sol's book "The AI Survival Guide" came about [20:44]
• How high-criticality, low-complexity AI projects are the ones with the highest probability of success [27:11]
• How Enterprise data security issues can be resolved with technologies like Protopia’s stained-glass data-masking solution [36:10]
• Why having great data engineers is essential [47:57]
• The value of patents [51:45]

Additional materials: www.superdatascience.com/781

The Super Data Science Podcast: Machine Learning | AI | Success

781: Ensuring Successful Enterprise AI Deployments, with Sol Rashidi

Welcome to the Tearsheet Podcast, where we explore financial services together with an eye on technology, innovation, emerging models, and changing expectations. I’m Tearsheet’s editor in chief, Zack Miller.

In today's episode, we explore what it takes to build world-class data governance in financial services. Our guests are Jay Como, the global head of data governance at T. Rowe Price, and Glenn Kurban, partner at Capco. We talk about how generative AI and new data strategies are transforming finance, sharing insights on the transformation of the Chief Data Officer role.

The discussion also focuses on the challenges of large-scale data migrations. Jay Como reflects on the convergence of data and digital roles. He states, "What we've seen is there used to be kind of two shapes of CDOs. There was a chief data officer and there was a chief digital officer. And what I think in the last five years is what we've seen is those roles have really come together."

Glenn Kurban adds depth to this perspective, emphasizing the shift towards more proactive data strategies. Glenn says, "You're seeing much more being asked of CDOs in terms of, how are we moving now to an offensive posture around data? That is, how am I going to monetize this data? How can I use it to drive better decisions, reduce costs, and actually outpace our competitors?"

As our discussion unfolds, it becomes clear that the financial services industry is at a pivotal moment.  AI tools and cloud technologies are reshaping traditional approaches to data governance and migration. The insights shared by Como and Kurban offer a glimpse into the future of data management in finance. AI-driven solutions and strategic data governance converge to create new opportunities and challenges.

Here’s my conversation with Jay and Glenn.

The evolving role of Chief Data Officers and Generative AI in financial services

Comment de jeunes talents peuvent avoir un impact réel sur toute la filière aéronautique ? En nous rappelant son propre parcours, Aurélie Gouby, chief data officer au sein de Safran Aircraft Engines, nous explique quels sont les challenges digitaux de ce grand groupe de l’aviation et comment la passion pour cette industrie se traduit au sein de ses équipes.

PASSIONATE PEOPLE : Un podcast présenté par SAFRAN

Bertie Haskins, executive director and head of data for Apac and Middle East at Capco, joins to discuss the challenges of commercializing data.

0:00 – Reb and Shen discuss Reb’s potential as the next host
3:00 – Bertie Haskins from Capco joins the podcast 
5:30 – Four key areas around commercializing data
12:30 – Is the problem with how firms define the CDO role 
16:00 – Strategies to commercialize data
19:30 – Understanding the data roadmap
24:00 – Steps to create new data products
26:30 – Sometimes, a simple option might be the best

Episode 314: Capco’s Bertie Haskins

Wei-Shen Wong and Anthony Malakian discuss the hottest financial technology topics in the capital markets every week.

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast.

As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

Tearsheet is news, opinion, and analysis on the business of finance.

Candid conversations with senior executives, fintech entrepreneurs, investors, industry experts -- all weigh in on the trends impacting the industry and the disruptive impact technology is having on the business.

Where social media, technology and finance intersect.

New tracks tagged #Chief Data Officer